Senior Generative AI Engineer
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Summary
A senior engineer designs and ships production generative AI applications for knowledge-intensive enterprise work: building RAG and agent workflows, evaluation suites, and safe integrations between language models and company documents, APIs, and systems. Core stack is Python, LLM APIs/orchestration frameworks, embeddings/vector search, and cloud deployment.
Nordic Investin has been engaged by a partner company to find a Senior Generative AI Engineer. You want to build generative AI systems that are useful because retrieval, evaluation, permissions and workflow design are treated as engineering problems.
The partner is developing AI assisted capabilities for knowledge intensive work. You will create production applications around language models, test their behaviour and connect them safely to enterprise data and tools.
The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning.
How you will work
You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment.
As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work.
What you will do
Design retrieval augmented generation and agent workflows.
Build evaluation suites for quality, safety and regression testing.
Integrate models with documents, APIs and business systems.
Implement identity, permission and audit controls.
Optimise latency, context use and operating cost.
Work with domain experts to define useful human review patterns.
What you will bring
Strong Python and backend engineering experience.
Hands on work with language model APIs and orchestration frameworks.
Knowledge of embeddings, retrieval and vector search.
Experience evaluating nondeterministic systems.
Cloud deployment, observability and security awareness.
Ability to challenge a use case when a simpler solution is better.
Experience that would add value
Fine tuning or model hosting.
Information retrieval or search engineering.
Enterprise knowledge management and document processing.
A background that can succeed here
You may come from NLP, search, backend engineering, data platforms or applied AI research. The partner is looking for production judgement rather than a collection of demos.
What makes the opportunity interesting
You will work on high interest technology with the discipline required for lasting value. The role provides direct access to users, complex information problems and room to shape the engineering standards for future AI products.
The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time.
The recruitment conversation
During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap.
How to apply
Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.
The partner is developing AI assisted capabilities for knowledge intensive work. You will create production applications around language models, test their behaviour and connect them safely to enterprise data and tools.
The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning.
How you will work
You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment.
As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work.
What you will do
Design retrieval augmented generation and agent workflows.
Build evaluation suites for quality, safety and regression testing.
Integrate models with documents, APIs and business systems.
Implement identity, permission and audit controls.
Optimise latency, context use and operating cost.
Work with domain experts to define useful human review patterns.
What you will bring
Strong Python and backend engineering experience.
Hands on work with language model APIs and orchestration frameworks.
Knowledge of embeddings, retrieval and vector search.
Experience evaluating nondeterministic systems.
Cloud deployment, observability and security awareness.
Ability to challenge a use case when a simpler solution is better.
Experience that would add value
Fine tuning or model hosting.
Information retrieval or search engineering.
Enterprise knowledge management and document processing.
A background that can succeed here
You may come from NLP, search, backend engineering, data platforms or applied AI research. The partner is looking for production judgement rather than a collection of demos.
What makes the opportunity interesting
You will work on high interest technology with the discipline required for lasting value. The role provides direct access to users, complex information problems and room to shape the engineering standards for future AI products.
The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time.
The recruitment conversation
During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap.
How to apply
Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.